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Databricks Data Intelligence Platform

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About Databricks Data Intelligence Platform

Databricks Data Intelligence Platform is a data analytics software from Databricks that powers AI-driven analytics to help users derive faster insights and improve decision-making. It includes features such as Lakehouse Architecture, Mosaic Research, and support for various user roles to help scale the data analytics workflows efficiently. The platform is designed to access the potential of the data while simplifying the analytics process for teams. With its focus on privacy and intelligence, it allows organizations to effectively manage and analyze complex datasets. Key capabilities: Lakehouse Architecture Mosaic Research AI-driven analytics User role support Data workflow scaling Best for: organizations that need to derive insights and manage data analytics effectively.

Databricks Data Intelligence Platform Details

Vendor
Databricks
Year Launched
2013
Location
160 Spear Street, 15th Floor, San Francisco, CA 94105, United States
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English
Users
Enterprises, Data engineers, Data scientists, Analysts, ML teams
Industries Served
Financial services, Healthcare, Retail, Media, Energy, Public sector, Technology
Tags
Data Intelligence, Lakehouse, AI, Machine Learning, Analytics, Governance, Data Engineering, Streaming, ETL, BI

Databricks Data Intelligence Platform's In-App Market Place

Does Databricks Data Intelligence Platform have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • Unifies data engineering, analytics, and machine learning in a single cloud-based platform, allowing seamless collaboration across teams
  • Supports multiple programming languages including Python, SQL, Scala, and R, providing flexibility for diverse technical needs
  • Lakehouse architecture combines data lake and data warehouse capabilities for efficient and scalable data management
  • Collaborative notebooks enable real-time co-authoring, improving team productivity and sharing of insights
  • Auto-scaling compute clusters and serverless compute reduce infrastructure management, letting users focus on analysis
  • Initial setup and configuration can be complex, particularly when deploying advanced features like Unity Catalog or MLflow
  • Performance may vary depending on cluster configuration, causing occasional slowdowns in large-scale data processing
  • While powerful, the platform may be overwhelming for non-technical users due to feature complexity and options
  • Dashboards provided are limited and may not replace dedicated BI tools like Tableau or Power BI
  • Continuous usage of advanced workloads can increase costs significantly, requiring careful governance and monitoring

Databricks Data Intelligence Platform's Support Options

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